基于HoDEPSO-RP的认知无线网络频谱功率分配方案

Jeyakanth Krishnan, Venkatakrishnan Perumalsamy, C. Chinnasamy, Dhivya Udhayasuriyan
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引用次数: 0

摘要

在本研究中,提出了一种基于进化发展的crn信道分配方法。这些方法对于某种采用的开发方法来说是神圣的。在这个提出的方法中,我们将PSO与DE技术结合使用。在满足网络主、从用户干扰约束的同时,有效地实现了网络吞吐量的最大化。解决了crn中频谱和功率的联合分配问题。此外,在crn中还涉及到一个修复过程,以忽略与辅助用户的冲突,从而增强频谱。由此产生的算法被称为基于差分进化的粒子群优化与修复过程的杂交(HoDEPSO-RP)。通过仿真技术对所提出的HoDEPSO-RP进行了性能分析。与其他现有算法相比,本文的工作具有更好的性能效果。
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Spectrum and Power Allocation Scheme Using HoDEPSO-RP Approach for Cognitive Radio Network
In this research work, an evolutionary development approach is introduced for channel assignment in CRNs. These approaches are divine by some kind of adoptive development approach. In this proposed methodology, we utilized PSO with DE technique. It effectively maximize the throughput of CN while gratifying interference constraints of both primary and secondary users in network. It also solves the joint spectrum and power allocation problem in CRNs. In addition, a repair process is involved to ignore conflicts with secondary users to enhance spectrum in CRNs. The resulting algorithm is known as Hybridization of Differential Evolution based Particle Swarm optimization with repair process (HoDEPSO-RP). The performance analysis of this proposed HoDEPSO-RP is estimated by simulation techniques. This proposed work provides better performance result when compared with other existing algorithms.
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